Manager of Software Delivery - Contract AI
McKinsey & Company · Chicago, IL · 3 wk ago
Supply ChainFull-time
About the role
The Manager of Software Delivery leads the client-facing delivery squad executing Contract AI Proof-of-Value and Build-Operate-Transfer engagements. This role involves managing a small team of engineers and delivery specialists through fast-paced eight-week Proof-of-Value cycles and multi-month at-scale deployments. Key responsibilities include running the delivery, managing timelines, resolving blockers, ensuring a working, production-quality system is shipped on schedule, and owning the entire execution from kickoff through handoff.
Responsibilities
- Lead and coordinate a team of Software Delivery Specialists and client-embedded engineers; assign work, track progress, resolve cross-team dependencies, and ensure the team is unblocked and performing.
- Be the client's primary technical contact; build trusted relationships with client procurement and technology leadership; communicate delivery status, surface risks proactively, and adapt plans when business requirements evolve.
- Configure and deploy the platform; work hands-on with the Contract AI platform to configure extractors, define compliance cases, integrate with client ERP and procurement systems (SAP, Ariba), and validate accuracy of findings before each release.
- Drive value realization; own the value capture tracking process from leakage identification through client-validated recovery actions; ensure clients realize measurable return on investment within the engagement timeline.
- Design and deliver structured training programs; facilitate office-hours support; execute the Build-Operate-Transfer handoff plan so the client team can operate the platform independently after the engagement; contribute to platform reuse; feed delivery learnings back into the product team.
Requirements
- Continuous learning: continuous improvement mindset, willingness to learn and adapt.
- A voice that matters: ability to offer innovative ideas and practical solutions, uphold ethical standards, and contribute to diverse perspectives.
- Global community: open-mindedness to diverse backgrounds and experiences.
- World-class benefits: competitive salary, comprehensive benefits package.
Qualifications
- 8+ years of experience in software delivery, technical project management, or engineering management — with a track record of shipping production software on time in a client-facing context.
- Strong technical foundation: ability to understand and reason about the Contract AI tech stack (Python, C#/.NET, Azure, Generative AI pipelines).
- Experience leading agile delivery teams: sprint ceremonies (planning, stand-ups, reviews, retros), backlog management, velocity tracking, and dependency resolution.
- Prior experience deploying enterprise AI or analytics platforms in a Build-Operate-Transfer or managed-service delivery model is preferred.
- Procurement, supply chain, or contract management domain knowledge is preferred.
- Experience with change management and training delivery for enterprise software adoption and familiarity with value capture tracking methodologies and ROI reporting is preferred.
- Understanding of Generative AI and agentic systems sufficient to configure, test, and validate AI-powered extraction and compliance workflows.
- Demonstrated ability to manage client relationships in a consulting or managed-service context: stakeholder communication, expectation management, escalation handling.
- Hands-on experience with Azure cloud environments: ability to read and reason about cloud infrastructure, deployment pipelines (Azure DevOps), and monitoring dashboards.
- Experience with enterprise system integrations: SAP, Ariba, ERP data feeds, or similar procurement and accounts-payable platforms is a strong plus.
- Willingness to travel 40–60% of the time to client sites in the United States and internationally.
- Strong written and verbal communication in English; ability to present delivery status and technical findings to non-technical client executives.